Data Engineer – Shenzhen

About the role

We are looking for a Data Engineer to design, develop, and maintain scalable data pipelines that support CASETiFY’s e‑commerce, ERP, CRM and other core systems. You will work closely with business intelligence, analytics and product teams to turn reporting needs into reliable, high‑performance data solutions.

Key responsibilities

• Design, build and optimise end‑to‑end data pipelines for structured and semi‑structured data from multiple source systems.
• Develop and maintain curated datasets, data models, data marts and reusable data assets for BI, operational reporting and self‑service analytics.
• Ensure data quality, completeness, timeliness and governance through validation controls, monitoring and reconciliation mechanisms.
• Collaborate with product, engineering and platform teams to guarantee scalability, security and alignment with enterprise architecture.
• Support AI, machine‑learning and advanced‑analytics use cases by providing a sustainable data foundation.
• Participate in data platform enhancements, architecture discussions, release activities and cross‑functional delivery planning.

Required profile

• Solid hands‑on experience in data engineering, ETL/ELT development and enterprise data integration.
• Good understanding of data warehousing, data modelling, pipeline orchestration and data lifecycle management.
• Proven ability to build pipelines for analytics, reporting and operational use cases.
• Strong problem‑solving, analytical and troubleshooting skills.

Required skills

• SQL
• ETL/ELT tools and processes
• Data warehousing and data modelling
• Pipeline orchestration and automation
• Cloud data platforms (e.g., AWS, Azure, GCP)
• Version control systems (e.g., Git)
• Data quality, validation and monitoring practices